Graduate Data Engineer
Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Sep 1, 2026. Quantum scores A on the Alion truth index.
Our Company
At Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity.
Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the world’s most used digital comparison service, delivering value and simplicity to millions.
We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimised in real time, and designed to scale.
With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors. We’ve helped ambitious brands grow faster, smarter, and globally.
The Role
As a Data Engineering Graduate, you'll be an integral part of our Data Engineering team. From day one, you'll gain hands-on experience, taking on meaningful responsibility, and making a tangible impact. This role is ideal for someone who likes building things that last and wants to learn how reliable data infrastructure is designed, built and maintained at scale.
Key Responsibilities
Pipeline development: you'll help build and maintain the data pipelines that ingest, clean and move data across our systems, learning how reliable data flows are engineered
Data integration: you'll support the onboarding of new data sources, writing and testing the logic that brings partner data into our platform cleanly and consistently
Transformation and modelling: you'll apply transformations that turn raw data into structured, trustworthy datasets the wider business can use
Monitoring and reliability: you'll help keep our ingestion pipelines running, flagging issues early and learning how we maintain the integrity of our data operations
Quality assurance: whether it's checking for anomalies or validating schemas and formats, your attention to detail will keep our data trustworthy and actionable
Automation and process improvement: you'll help identify and implement ways to streamline and scale our data processes, bringing more automation, speed and accuracy to the team
Documentation: you'll capture and update data rules, pipeline logic and key processes to support operational clarity and team knowledge sharing
You'll use your natural curiosity to stay up to date with engineering practices and tools, contributing fresh ideas to the team
About You
Bachelor's degree in computer science, software engineering, data science, mathematics, or a related field (or similar qualification)
Some exposure to coding, ideally Python or SQL, through your studies, projects or self-teaching, with a genuine eagerness to deepen it
A keen eye for detail and a passion for getting data right, because small errors can make a big difference downstream
Comfortable picking up new tools, platforms and technical concepts quickly
Proactive and inquisitive, happy to ask questions and figure things out
Organised and methodical in how you approach tasks and documentation
You thrive when working as part of a team
Comfortable in a fast-paced environment
Have excellent written and verbal English skills
Last but not least, you'll have no ego!
What You’ll Get
Private Health Care (Bupa)
Hybrid Working (3 days in office)
Travel Insurance
Competitive Base Salary
Company Bonus Scheme
Paid for AI Subscription (Claude / ChatGPT / Gemini)
Market-Leading Training Programme
Recognition & Reward Scheme
Annual Company Conference
Regular Happy Hours & Team Lunches
Free Coffee, Drinks & Snacks
What’s the next step?
Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them.
If you like the sound of what we're all about at Quantum and want to join a team where you can make an impact, please apply or contact us at [email protected].